longtermrisk/Qwen3-8B-target-only-no-hallucination-sft-seed2
The longtermrisk/Qwen3-8B-target-only-no-hallucination-sft-seed2 is an 8 billion parameter Qwen3 causal language model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its efficient training methodology.
Loading preview...
Model Overview
The longtermrisk/Qwen3-8B-target-only-no-hallucination-sft-seed2 is an 8 billion parameter Qwen3-based causal language model. Developed by longtermrisk, this model was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in a reported 2x faster training process compared to standard methods.
Use Cases
This model is suitable for a variety of general natural language processing tasks where an efficiently trained 8B parameter model with a substantial context window is beneficial. Its fine-tuning approach suggests an emphasis on optimized performance and resource utilization during development.